What has impressed me most about GPT 6 Astra so far is its Computer Use capability. Unlike GPT 5.6, which would take a bit of time before performing various actions, it can now quickly and accurately help me test apps. Watching it click around is truly a pleasure https://x.com/victornunez/status/2095975651094261777/video/1
What this actually brings is a huge improvement: it enables the agent to form a complete loop from development to validation.
Imagine that when we develop now, even after finishing development, there are still many actions that need to be manually verified, including testing online systems, which also relies heavily on code-driven tools like PlayWright and other end-to-end testing frameworks to execute. Computer Use wasn’t incapable of doing this before, but it was relatively costly, less accurate, and not fast enough.
But GPT 6 may have broken through a critical threshold for Computer Use: high accuracy and fast speed. The cost is still not low at the moment, but it is foreseeable that it will decline further in the future.
I suggest that when you assign tasks to GPT 6, you can let it use Computer Use to perform testing and validation on its own, which can greatly reduce the manual acceptance work you need to do.
Another point is that some app automation testing that was done before can also try using GPT-6 to call Computer Use, covering scenarios that earlier end-to-end testing frameworks could not cover or that were too costly to handle.
What this actually brings is a huge improvement: it enables the agent to form a complete loop from development to validation.
Imagine that when we develop now, even after finishing development, there are still many actions that need to be manually verified, including testing online systems, which also relies heavily on code-driven tools like PlayWright and other end-to-end testing frameworks to execute. Computer Use wasn’t incapable of doing this before, but it was relatively costly, less accurate, and not fast enough.
But GPT 6 may have broken through a critical threshold for Computer Use: high accuracy and fast speed. The cost is still not low at the moment, but it is foreseeable that it will decline further in the future.
I suggest that when you assign tasks to GPT 6, you can let it use Computer Use to perform testing and validation on its own, which can greatly reduce the manual acceptance work you need to do.
Another point is that some app automation testing that was done before can also try using GPT-6 to call Computer Use, covering scenarios that earlier end-to-end testing frameworks could not cover or that were too costly to handle.